Deep learning for time series classification: a review
type: Item
instance of: scholarly article
published in: Data Mining and Knowledge Discovery
volume: 33
issue: 4
page(s): 917-963
publication date: 2019-03-02T00:00:00Z
publication date: 2021-01-15T00:00:00Z
author: Hassan Ismail Fawaz
author: Germain Forestier
author: Jonathan Weber
author: Lhassane Idoumghar
author: Pierre-Alain Muller
title: Deep learning for time series classification: a review
zbMATH Open document ID: 1458.68196
full work available at URL: https://arxiv.org/abs/1809.04356
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 7296698
zbMATH Keywords: deep learning
zbMATH Keywords: time series
zbMATH Keywords: classification
describes a project that uses: Adam
describes a project that uses: ADADELTA
describes a project that uses: AlexNet
describes a project that uses: word2vec
describes a project that uses: Tensor2Tensor
describes a project that uses: PRMLT
describes a project that uses: Keras
describes a project that uses: TensorFlow
describes a project that uses: ImageNet
MaRDI profile type: Publication
OpenAlex ID: W2892035503
arXiv ID: 1809.04356
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Wikidata QID: Q128277525
DOI: 10.1007/S10618-019-00619-1
description: scientific article